Determinants of household-, maternal- and child-related factors associated with nutritional status among children under five in Mali: evidence from a Demographic and Health Survey, 2018

Objective: The current study aims to determine household-, maternal- and child-related factors influencing nutritional status among children under five in Mali. Design: Quantitative cross-sectional study using secondary data extracted from Mali DHS-VI 2018. Setting: Urban and rural areas of Mali. Participants: A total of 8908 children participated, with 3999 in the younger age group (0–24 months) and 4909 in the older age group (25–59 months). Results: In the younger age group, the prevalence of stunting, wasting and underweight was 18·8 % (95 % CI%: 17·5, 20·0), 24·6 % (95 % CI: 23·2, 26·0) and 13·2 % (95 % CI: 12·1, 14·3), respectively, while in the older age group, it was 24·9 % (95 % CI: 23·7, 26·2), 22·7 % (95 % CI: 21·5, 24·0) and 5·7 % (95 % CI: 5·0, 6·5), respectively. Being average or large size at birth, having piped source of water, receiving Zn, deworming, high maternal BMI, receiving Fe during pregnancy, higher maternal education and being rich were associated with lower odds of one or more form of undernutrition in both groups. On the other hand, children who were anaemic, drank from a bottle, maternal anaemia, current pregnancy of mothers and living in rural areas were associated with higher odds of stunting, wasting or underweight. Interestingly, children who received Fe supplementation had a higher odds of wasting in the younger group but lower odds of all forms of undernutrition in the older group. Conclusions: This study emphasised the potential risk factors associated with undernutrition in children. Children who consume non-potable water, have mothers with lower levels of education and BMI and reside in rural areas are more likely to experience undernutrition.

Childhood undernutrition persists as a significant public health concern, especially in low-income countries.Despite ongoing initiatives, such as micronutrient supplementation, supplementary feeding programs and the promotion of hygiene and sanitary food practices the challenge endures, with sub-Saharan Africa (SSA) experiencing a particularly pronounced impact (1,2) .Globally, the prevalence of stunting has decreased from 33 % in 2000 to 22•3 % in 2022, and in SSA, it has reduced from 34•5 % to 31•1 %.However, despite this encouraging decline on a global scale, progress in SSA has fallen short of meeting the global target.In fact, SSA is the only sub-region where the absolute number of children affected by stunting has increased in recent years (3) .Not only stunting but also wasting and underweight, the other forms of undernutrition, have exhibited similar trends.According to Akombi et al., the average prevalence of wasting and underweight among children under five in SSA was 12 % and 24•8 %, respectively.Specifically in Mali, the rates of stunting, wasting and underweight were reported as 38•3 %, 12•7 % and 25 %, respectively (1) .
Undernutrition has a negative impact on the efficiency of countries and gives rise to economic and societal difficulties within vulnerable populations.It is linked to substandard brain growth, leading to detrimental effects on cognitive development, academic achievements and economic output during adulthood (4) .Children under five are particularly susceptible to the consequences of undernutrition, experiencing significant morbidity and mortality as a result of a weakened immune system.It is estimated that undernutrition is the underlying cause of child mortality in about 45 % of all deaths reported for children under 5 years of age (5) .The link between malnutrition and infections may be influenced, to some extent, by the confounding effect of poverty, which serves as a common determinant.However, there is also a potential two-way causal relationship: malnutrition heightens susceptibility to infections, while infections exacerbate malnutrition by diminishing appetite, promoting catabolism and intensifying the body's demand for nutrients (6) .
Over the years, various contributing factors to undernutrition have been reported.These factors include, but not limited to, socio-economic and demographic factors, physical factors, nutritional factors, hygiene and sanitation factors, medical factors, as well as environmental factors (1,(7)(8)(9) .A study conducted in Mali has indicated a significant correlation between wasting and clinical malaria (10) .Mali is one of the countries situated in the African meningitis belt, and meningitis has been associated with undernutrition due to reduced immune system (11,12) .In the agricultural regions of Mali, diarrhoea, preterm birth and a low dietary diversity score have been identified as factors associated with chronic malnutrition in children aged 6-24 months (13) .Additionally, another study conducted in rural Mali demonstrated that increased access to toilet facilities has led to improvements in growth, particularly among children under 2 years old (14) .
Undernutrition is a result of many factors that affect child growth and development.It is important to explore all possible ways to understand the nature and complex interplay between undernutrition and the contributing factors in order to find a sustainable solution.While there may be similarities, problems can vary from region to region, even between rural and urban areas within the same country.In Mali, for instance, food variety and diet diversity were found to be associated with the nutritional status of children aged 6-59 months in urban areas.However, these two factors did not show any association among children living in rural areas (15) .
In our previous study in Ethiopia, we examined the associated factors of undernutrition in children separately, considering two distinct age groups: 0-24 months and 25-59 months (7) .However, to the best of our knowledge, no nationwide study has been conducted to date that specifically analyses undernutrition in these two age groups of children in Mali.Therefore, the primary objective of the current study is to investigate the varying impacts of three categories of predictors (household, maternal and child variables) on the nutritional status of children in the younger age group (0-24 months) and the older age group (25-59 months).By addressing this research gap, we aim to contribute to a better understanding of the factors influencing undernutrition in different age groups, which can inform targeted interventions and policies to improve the nutritional outcomes of children in Mali.

Study setting
We conducted a secondary data analysis based on the Mali Demographic and Health Survey (DHS) for 2018.The 2018 survey is a national survey designed to provide data for monitoring the population and health situation in Mali.The DHS Program has established standardised procedures, methodologies and manuals to oversee the survey process.Rigorous steps are taken to ensure accurate representation and comparability of data across countries.Data collection involves questionnaires, manuals, biomarkers and geographic information systems.The sampling strategy includes national, urban-rural and regional representation, employing a stratified two-stage cluster design.Enumeration areas are initially selected from Census files, followed by the second stage where households are sampled from an updated list within each selected enumeration area.

Variables and measures
Dependent variables: The dependent variables were stunting, wasting and underweight.The children were considered stunted, wasted or underweight if the heightfor-age Z-score, the weight-for-age Z-score or the weightfor-height Z-score was less than −2 SD using the new WHO child growth standards (16) .
Independent variables: We employed a total of twenty two factors to explain stunting, wasting and underweight.These factors were categorised into three main groups: child characteristics (consisting of nine variables), maternal factors (comprising seven variables) and socio-demographic variables (comprised of six variables).The independent variables were selected based on review of literature and the UNICEF conceptual frame work (17) .The household and socio-economic characteristics included in the analyses were explained as follows.Household index served as a substitute for household income and was evaluated using an asset-based index.This index integrated data regarding ownership of consumer goods, housing conditions, as well as water and sanitation amenities to estimate the wealth level of the household (18) .Wealth index was categorised as poorest, poorer, middle, richer and richest.Other factors included were area of residence, total number of children ever born, the employment status of the mothers, maternal education and household head.Among the maternal factors considered were the current age and height of mothers, whether the mother received Fe supplements during pregnancy, her current pregnancy status, breastfeeding status, maternal anaemia level and BMI.BMI was computed using height and weight and was defined as BMI value below 18•5 kg/m 2 (underweight), 18•5-24•9 kg/m 2 (normal weight), 25-29•9 kg/m 2 (overweight) and ≥ 30•0 kg/m 2 (obese).The child factors were sex of child, size at birth, anaemia level, source of drinking water, if child drank from bottle the night preceding the survey, if child was taking Fe pills, sprinkles or syrup, drugs for intestinal parasite in the last 6 months, if child has diarrhoea recently and if child was given Zn for diarrhoea treatment.

Statistical analysis
We conducted data analysis using IBM SPSS Statistics version 23, a statistical software package.All analyses were weighted to account for sampling probabilities.Descriptive analysis was performed to examine the characteristics of the study sample.To investigate the relationships between the aforementioned explanatory variables and the three outcome variables, multivariable binary logistic regression analyses were employed.For each of the two age groups (0-24 months and 25-59 months), three separate regression models were constructed.The selection of explanatory variables for the regression analysis was performed based on previous research findings and the UNICEF conceptual framework (17) .To assess multicollinearity among the explanatory variables, we utilised the variance inflation factor, and variables with a variance inflation factor exceeding 10 were eliminated from the analysis.OR and 95 % CI were calculated to determine the likelihood of being undernourished associated with each factor in the logistic regression model.Statistical significance was considered if the P value was < 0•05., respectively (Fig. 1).

Characteristics of study participants As shown in
Table 2 shows that the majority of the mothers were in the age category between 25 and 34 years and had a normal BMI.Among the mothers, the majority were rural inhabitants and had no education.The prevalence of anaemia was high in both groups, with 62•3 % in the younger age group and 64•5 % in the older age group.More than 39 % of the younger age group and over 41 % of the older age group were classified as 'poor', while a similar proportion of women were categorised as 'rich' based on the wealth index.Of the mothers, nearly 70 % in the younger age group and 74 % in the older age group had received Fe supplements during pregnancy.

Child factors
As shown in Table 3, birth size, anaemia, source of drinking water, drinking from a bottle, receiving Zn supplement, receiving Fe supplement and receiving drugs for intestinal parasite were associated with one or more of the three forms of childhood undernutrition.In both age groups, the likelihood of stunting, wasting or being underweight was lower in children with average or large size at birth.In the younger age group, anaemic children were more likely to be wasted (OR = 2•5; 95 % CI

Household socio-economic and demographic factors
The results presented in Table 5 demonstrate significant associations between various factors and the occurrence of childhood undernutrition across three different forms.Maternal education, household wealth index, area of residence, household size and mother's work all displayed statistically significant relationships with at least one form of childhood undernutrition.
These associations were also observed in the older age group.Furthermore, the analysis revealed that the area of residence was a significant predictor of childhood undernutrition.Children residing in rural areas exhibited 1•24 times higher odds (95 % CI 0•95, 1•41) of experiencing stunting compared with children living in urban areas within the younger age group and 1•21 times higher odds (95 % CI 0•98, 1•40) within the older age group.Among the older age group, children from households where the number of children ever born was between four and six had a 22 % (OR = 0•78; 95 % CI 0•67, 0•91) lower odds of being wasted and a 35 % (OR = 0•65; 95 % CI 0•49, 0•85) lower odds of being underweight.Additionally, the odds of experiencing stunting were 14 % lower in older children whose mothers were employed (OR = 0•86; 95 % CI 0•75, 0•99).

Discussion
Using nationally representative secondary data, we present the prevalence of the three forms of undernutrition and predictors for each dependent variable, stratifying the children into two age groups.The prevalence of stunting (chronic undernutrition) and underweight has shown a promising decline among children under 5 years old.However, the prevalence of wasting (acute undernutrition) remains high compared with previous studies.A previous study utilising DHS data from 2006 to 2016 reported a prevalence of 38•3 % for stunting, 12•7 % for wasting and 25 % for underweight in children under 5 years old in Mali (1) .In our current study, the respective prevalence was 22 %, 24 % and 9•5 %.Although progress has been made in reducing the prevalence of stunting, further efforts are needed to meet the global sustainable development goal of reducing chronic undernutrition by 40 % and acute undernutrition to less than 5 % by the year 2025 (19) .Childhood undernutrition, particularly stunting, has gained significant attention recently for two reasons.First, a large number of children worldwide are affected by this issue.Second, ample evidence confirms that stunting is associated with poor cognition, educational underperformance and diminished economic productivity later in life.Hence, addressing childhood undernutrition, especially stunting, is crucial not only for the immediate health and well-being of children but also for their long-term development and future opportunities (20) .
Childhood undernutrition is a complex issue influenced by various factors, and its consequences are severe and multifaceted, particularly among children under the age of five.In this analysis, we have presented a comprehensive assessment of the potential contributing factors to childhood undernutrition, categorising them into child health and nutrition factors, maternal health and nutrition factors, as well as household socio-economic and demographic factors.Unlike in previous studies (7,8) , the gender of the child did not show a significant association with any of the three undernutrition indicators in either age group.
However, child weight at birth was consistently associated with all forms of undernutrition in both age groups.In the younger age group, children with average or large birth weights had lower odds of experiencing stunting, wasting or underweight compared to those with Determinants of childhood undernutrition small birth weights.A similar pattern was observed in the older age group, except that stunting was not significantly associated.The association between birth weight and undernutrition has been consistently observed in various regions worldwide (7,(21)(22)(23) .Low birth weight has been identified as a major risk factor for child morbidity and mortality (24) .To achieve the Sustainable Development Goal 3•2 target of ending preventable deaths of children under the age of five by 2030, it is crucial to aggressively intervene in enhancing birth weight through improvements in maternal and child nutrition (25) .Anaemia is highly prevalent in Mali, with approximately 82 % of children (aged 6-59 months) and 64 % of mothers (aged 15-49 years) affected, as indicated in this study.Furthermore, anaemia is significantly associated with undernutrition.Among anaemic children, the odds of experiencing wasting were 2•5 times higher in the younger age group, while the odds of experiencing stunting were 2•02 times higher in the older age group.Evidence shows that anaemia diminishes the transportation of oxygen within the body, potentially leading to long-lasting implications for the growth and development of young children (26,27) .Additionally, children between the ages of 25 and 29 months born to anaemic mothers had a 1•47 times higher likelihood of experiencing stunting.Maternal anaemia, particularly during pregnancy, has been associated with an increased risk of infant stunting, low birth weight and childhood anaemia (28,29) .The causes of anaemia are multifactorial, including micronutrient deficiencies (30) , acute and chronic inflammation (31) and disorders affecting Hb synthesis and erythrocyte production (32) .However, approximately 50 % of anaemia cases are due to Fe deficiency (33,34) .Fe plays a vital role in essential bodily functions, ranging from basic processes like breathing and immune response to complex cellular activities such as DNA creation and cell growth promotion (35) .In the current study, Fe intake was associated with reduced odds of all forms of undernutrition in the older age group.Furthermore, among children, those whose mothers took Fe supplements during pregnancy had lower odds of experiencing wasting or underweight in the younger age group, as well as stunting, wasting or underweight in the older age group.These findings underscore the importance of Fe intake in preventing undernutrition and highlight the potential benefits of Fe supplementation during pregnancy to enhance child health and nutrition outcomes.
Conversely, in the younger age group, taking Fe supplements has been associated with higher odds of experiencing wasting.Similarly, in a study conducted in Panama, supplementing lactating mothers with Fe during the first 6 months of the lactation period was found to be negatively associated with the length-for-age Z score of their children (36) .This phenomenon is particularly evident in areas with high parasitic infestations, which contribute to childhood undernutrition.In a double-blind randomised controlled trial conducted in Kenya, 6-month-old children who consumed Fe-fortified maize for 4 months experienced adverse effects on the gut microbiome, increased pathogen abundance and intestinal inflammation due to the increased unabsorbed Fe, which becomes available to the pathogens (37) .Food fortification is considered one of the most effective ways to increase nutrient intake in children.However, certain foods, such as maize, contain phytate, an inhibitory compound that reduces the bioavailability of nutrients like Fe (38) .In another controlled trial involving Tanzanian preschool children, the intake of highdose Fe (12•5 mg Fe/d) resulted in increased morbidity and even mortality (39) .Furthermore, infants who received Feenriched milk for 6 months experienced a significantly higher incidence of diarrhoea (40) .However, adding micronutrient powder containing Fe to complementary foods has been shown to reduce Fe deficiency anaemia, even in areas with a high prevalence of infection and inflammation (41) .The WHO suggests that in regions with a high prevalence      Determinants of childhood undernutrition of parasitic infections, combining Fe supplementation with deworming can be an effective approach (42) .Research conducted in sub-Saharan Africa revealed that administering Fe supplements and deworming treatments during pregnancy resulted in a decreased likelihood of anaemia and stunted growth among infants under the age of two (43) .

Determinants of childhood undernutrition
In the current analysis, deworming was associated with lower odds of wasting or underweight in the older age group.Our analysis revealed a significant association between using water from an unprotected source and negative effects on stunting, wasting and underweight in both age groups.Additionally, drinking from a bottle on the day prior to data collection was found to be negatively associated with wasting and underweight in the older age group.These findings align with previous studies conducted in Ethiopia and Tanzania (7,44) .In regions with inadequate hygiene and sanitation practices, children are at a high risk of contracting parasitic and bacterial infections, which often result in severe diarrhoea.The occurrence of diarrhoea can significantly hinder a child's growth and development and increase childhood mortality.It has been reported that diarrhoeal disease is responsible for approximately 13•5 % of cases of stunting worldwide.Furthermore, in low-and middleincome countries, the likelihood of stunting increases by 16 % for every 5 % increase in the duration of total episodes of diarrhoea (45) .In our analysis, recent episodes of diarrhoea were associated with higher odds of experiencing all forms of undernutrition in both age groups.One of the major causes of hygiene and sanitation-related diarrhoea is the practice of open defecation.Globally, approximately one billion people engage in open defecation, predominantly in low-income countries, particularly in rural areas (46) .Mali is one such country where a significant number of people practice open defecation, and children often suffer from recurrent episodes of diarrhoeal diseases, particularly in rural areas (14) .The same study reported that in places where access to toilets has improved, child growth has shown significant improvement (14) .In the current analysis, residing in rural areas was associated with higher odds of wasting in the younger age group and stunting in the older age group.
The existing guidelines provided by the WHO for managing acute diarrhoea have played a crucial role in significantly reducing mortality rates associated with this condition (47) .These guidelines recommend interventions such as rehydration, Zn supplementation, maintaining regular feeding and follow-up care.Zn, in particular, plays a vital role in DNA and RNA metabolism, influencing processes like cell replication, differentiation and growth.Therefore, a deficiency in Zn is associated with various negative health outcomes, including impaired linear growth (48) .In a meta-analysis, it was reported that Zn supplementation in infants and early childhood increased height, weight and weight-for-age Z-score (49) .In our analysis, the use of Zn supplements for treating diarrhoea was associated with lower odds of stunting and wasting in the younger age group and wasting in the older age group.
Maternal height and BMI demonstrated significant associations with one or more forms of children's undernutrition.Children born to mothers with shorter stature had higher odds of experiencing stunting in the older age groups.On the other hand, children born to mothers with normal or higher BMI were less likely to experience any form of undernutrition in both age groups.Similar findings have been reported in other African countries (7,8) .In lowincome countries, maternal BMI can serve as an indicator of food security and overall household well-being.In impoverished environments with limited food availability, the nutritional status of household members, including children, may be similarly affected.Multiple studies have confirmed that maternal BMI is a significant predictor of children's BMI and has a lasting impact on their nutritional status across generations (50,51) .Maternal genetic influence plays a significant role in determining the offspring's nutritional status, particularly in terms of linear growth, during the critical first 1000 d of life (51) .Poor maternal nutrition, inadequate healthcare, and unfavourable environmental conditions can have negative effects on children from an early age and throughout adulthood (52) .In our analysis, the current pregnancy status of the mother was negatively associated with stunting or wasting in the younger age group.Early pregnancies often lead to premature weaning, which weakens the immune system and the nutritional status of the children.Moreover, replacing breast milk with less nutrient-rich complementary food exacerbates the nutritional and health issues faced by children (53) .In Mali, the primary source of complementary food is derived from plants, with 63 % of the available calories coming from rice, millet, maize and sorghum (2) .These cereal crops contain high levels of phytate, which hinder the absorption of vital micronutrients like Zn and Fe, further compromising their nutritional value (38) .
In addition to child and maternal factors, socio-economic factors significantly contribute to childhood undernutrition.Research has revealed that children whose mothers have attained at least a secondary education, as well as those belonging to middle or high-income households, are less likely to experience one or more forms of undernutrition.These findings align with similar results reported in other studies (7,8) .Hence, it becomes evident that the socioeconomic status of families plays a crucial role in determining the nutritional well-being of children.This highlights the importance of addressing economic disparities as a key aspect of effectively combating undernutrition.

Strengths and limitations
This study contributes to our understanding of child malnutrition in Mali and has the potential to be valuable on a national level for assessing progress in combating child malnutrition.The findings can serve as a crucial resource for planning, implementing, monitoring and evaluating future health promotion programs.However, it is important to acknowledge certain methodological limitations in this study.Since the data were collected from mothers, many of whom had no education, there may be instances of missing, underreported or inaccurately reported important variables related to exposure.Additionally, the cross-sectional nature of the DHS data restricts the ability to establish causal relationships between the explanatory variables and the outcomes presented in the analysis.Finally, we also acknowledge that utilising OR may lead to an overestimation of the effect size.Despite these limitations, the study still provides valuable insights into child undernutrition in Mali and offers a foundation for further research and improvement in addressing this critical issue.

Conclusion
The progress made in addressing childhood undernutrition in Mali appears to be promising, but it is evident that more comprehensive efforts are needed.Taking a multidisciplinary approach is crucial in addressing the complex factors contributing to undernutrition.This analysis underscores the significant impact of child factors, particularly sanitation and hygiene-related factors, on child outcomes.Moreover, maternal factors play a larger role in the younger age group, whereas household socio-economic factors are more influential in the older age group.This study, like others, demonstrates that children under the age of five are susceptible to similar problems related to undernutrition.However, it is essential to recognise the distinct differences between these two age groups in terms of their nutritional needs, healthcare requirements, parental care and social needs.
Therefore, to successfully alleviate childhood undernutrition in Mali, it is essential to foster collaboration among a diverse range of stakeholders, including governments, non-governmental organisations, communities and international partners.This collaboration should be specifically directed toward education, agriculture, health and nutrition.It is crucial to devise and execute programmes that prioritise the enhancement of children's health and nutritional status, considering the broader context of their overall well-being.These initiatives should encompass thorough planning, effective implementation, continuous monitoring and rigorous evaluation to ensure their efficacy in addressing the multifaceted challenges of childhood undernutrition in Mali.

Fig. 1
Fig. 1 Prevalence of stunting, wasting and underweight of children, with their 95 % confidence intervals represented by vertical bars It is the sixth Demographic and Health Survey conducted in Mali since 1987 and was implemented by l'Institut National de la Statistique (INSTAT) in close collaboration with the Cellule de Planification et de Statistique Secteur Santé-Développement Social et Promotion de la Famille (CPS/SS-DS-PF).The DHS Program, an initiative backed by USAID, received assistance from ICF in the form of technical support.This support aimed to facilitate population and health surveys in various countries across the globe.A total of 8908 cases based on the children's age were used for the current analysis, among which 3999 children were aged 0-24 months, and 4909 children were aged 25-59 months.All children under age 5 years of age who were eligible for height and weight measurements were eligible for the DHS data collection.

Table 1
source.In the younger age group, 35•8 % experienced sickness such as fever, cough and/or shortness of breath in the last 6 months, while in the older age group, the percentage was 27•3 %.Most of the children in both age groups have had vaccination, with 56•7 % in the younger age group and 71•3 % in the older age group.In comparison to the younger age group, a significant percentage of the older age group-27•2 % and 42•0 %, respectively-had received medication for intestinal parasites in the last 6 months preceding data collection.While having diarrhoea recently was high in the younger age group.
1•23, 4•95), while in the older age group, they were more likely to be stunted (OR = 2•02; 95 % CI 1•57, 2•60).Children living in households with a piped source of drinking water were less likely to experience stunting (OR = 0•63; 95 % CI 0•52, 0•76), wasting (OR = 0•69; 95 % CI 0•58, 0•81) or being underweight (OR = 0•76; 95 % CI 0•62, 0•93) in the younger age group.They were also less likely to experience stunting (OR = 0•51; 95 % CI 0•44, 0•60) or wasting (OR = 0•59; 95 % CI 0•50, 0•69) in the older age group.The children in the older age group who drank from a bottle had higher odds of experiencing wasting (OR = 1•92; 95 % CI 1•03, 3•40) or being underweight (OR = 5•31; 95 % CI 1•55, 18•24).Furthermore, children who had diarrhoea recently were more likely to experience stunting, wasting and underweight in both age groups.The odds of stunting or wasting were lower by 57 % and 44 %, respectively, in the younger age group who received Zn supplements for diarrhoea treatment.In the older age group who received Zn supplements for diarrhoea treatment, the odds of wasting were lower by 62 %.Children in the younger age group who received Fe supplement were 1•20 times more likely to experience wasting (95 % CI 1•00, 1•35).Maternal health, nutrition and physiological factorsAccording to the findings presented in Table4, several factors demonstrated associations with at least one of the three types of childhood undernutrition.For the younger age group, children whose mothers fell into the overweight or obese category for BMI had lower odds of experiencing stunting, wasting or underweight.Similarly, among children in the younger age group, those whose mothers had a normal BMI had lower odds of experiencing wasting or underweight.Likewise, in the older age groups, children whose mothers had a normal BMI had lower odds of experiencing stunting or underweight.In contrast, among the older age groups, children whose mothers had short stature were 1•24 times more likely to experience stunting

Table 2
Health, socio-economic and demographic characteristics of mothers by age group of children.Demographic and Health Survey data, Mali, 2018 (n 8908)

Table 3
Factors associated with undernutrition in children aged 0-24 months and 25-59 months: child factors.Demographic and Health Survey data, Mali, 2018 (n 8908)

Table 4
Factors associated with undernutrition in children aged 0-24 months and 25-59 months: maternal health and nutrition factors.Demographic and Health Survey, Mali, 2018 (n 8908)

Table 5
Factors associated with undernutrition in children aged 0-24 months and 25-59 months: household socio-economic and demographic factors.Demographic and Health Survey,